dominate
panel
dominate | panel | |
---|---|---|
11 | 39 | |
1,646 | 4,235 | |
- | 5.5% | |
4.6 | 9.9 | |
12 days ago | 6 days ago | |
Python | Python | |
GNU Lesser General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
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dominate
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Ludic: New framework for Python with seamless Htmx support
It feels weird at the beginning, but after a bit of practice I found it pretty nice to write HTML in Python.
Here is an example of a HTML page layout written with the DOMinate [1] library for example, in a "JSX-like" way:
https://github.com/olivierphi/zakuchess/blob/main/src/apps/w...
It may hurt your eyes at first sight, for sure... But similarly to technologies like Tailwind CSS, it's mostly a matter of getting used to it - and after a while it end ups feeling very natural to use :-)
1: https://github.com/Knio/dominate#readme
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C++: The Obvious Final Step
Pretty much how https://github.com/Knio/dominate does it, but no context variable binding (otherwise gets messy with lots of nesting)
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That people produce HTML with string templates is telling us something
You're conflating two things, dynamically creating HTML is great and lets you avoid JS in a lot of cases. It's whether you should treat your HTML document as the tree of nodes that it is in your programming language or treat it like a string.
https://github.com/Knio/dominate is a Python lib that implements this principal.
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Views / Templates / Custom Widgets ... I just want to display non editable data
Actually excited to giive this HTML field a try - https://github.com/Knio/dominate might come in useful for me to generate the html
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htmx_gen
How is it different from other existing projects like Dominate?
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Python and Web Developing
If you’re talking about generating HTML using Python, I highly recommend the library Dominate. Incredibly intuitive and Pythonic way to generate HTML.
- Lona - A web framework for responsive web apps in full python
- Template-less HTML rendering in Python
- What do you guys think of Dominate? Use cases?
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I made a Python3 framework fro integrating Python with HTML and CSS
Ive mostly used Dominate for my services. https://github.com/Knio/dominate
panel
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This Week In Python
panel – data exploration & web app framework for Python
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panel VS solara - a user suggested alternative
2 projects | 13 Oct 2023
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What python library you are using for interactive visualisation?(other than plotly)
https://panel.holoviz.org/ It's a web app framework for Python similar to what Dash does for plotly. It plays nicely with bokeh visuals and I think the front-end is built using bokeh css elements.
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FastAPI, Panel and Bokeh
I'm following the Panel FastAPI example here: https://github.com/holoviz/panel/blob/main/examples/apps/fastApi/main.py
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How to approach GIS and which language to use
If you want to build Python dashboards, look at the solara (react-style lib, https://solara.dev/) and panel (https://panel.holoviz.org/).
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Panel - A high-level app and dashboarding solution for Python
panel
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Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
My suggestion is https://panel.holoviz.org/
Fully open sourced, makes it easy to make reactive apps with small changes, can even configured as a graphical REPL.
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Updating a page with MQTT
I am doing something like this in a [panel](https://panel.holoviz.org/) dashboard, which I am currently converting to nicegui. Maybe I can provide an example in some days.
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Mercury – Turn Python Notebooks to Web Apps
Ill have to check it out and see how it compares to voilà and holoviz panel. What I like about Holoviz panel is you can create a data web app from code that resides in a notebook or create a completely standalone app from just plain py scripts, and it supports many different visualization backends. I have found it to be the more flexible and generalizable data web app framework among the others I have come across (like Voilà, Dash, Plotly, and Streamlit).
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4 Streamlit Alternatives for Building Python Data Apps
Like the previous three alternatives, Panel is an open-source Python library for creating interactive dashboard web apps. Panel is extremely flexible, allowing you to use any plotting library you like. Like Gradio but unlike Streamlit, you can use Panel in Jupyter notebooks. Panel dashboards can also be deployed as standalone web apps, but like Plotly Dash, you'll need to set up a server to deploy it yourself.
What are some alternatives?
domonic - Create HTML with python 3 using a standard DOM API. Includes a python port of JavaScript for interoperability and tons of other cool features. A fast prototyping library.
streamlit - Streamlit — A faster way to build and share data apps.
wasmer-python - 🐍🕸 WebAssembly runtime for Python
dash - Data Apps & Dashboards for Python. No JavaScript Required.
aiohttp-json-rpc - Implements JSON-RPC 2.0 using aiohttp
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
ryact - Ryact(Breact but 10x faster): a react-like framework to build super-fast web apps in python.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
tocbot - Build a table of contents from headings in an HTML document.
appsmith - Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
dashborg-go-sdk - Modern internal tools. Defined, controlled, and deployed directly from backend code. No JavaScript. Secure.
jupyterlite - Wasm powered Jupyter running in the browser 💡